Reference : XAI and philosophical work on explanation: A roadmap
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/53884
XAI and philosophical work on explanation: A roadmap
English
Knoks, Aleks mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Raleigh, Thomas mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Humanities (DHUM) >]
2022
Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming
CEUR-WS.org
3319
Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming
101-106
Yes
No
International
1613-0073
1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming
2-12-2022
University of Udine
Udine
Italy
[en] Deep Neural Networks ; Black Box Problem ; XAI ; explanation ; understanding ; scientific models
[en] What Deep Neural Networks (DNNs) can do is impressive, yet they are notoriously opaque. Responding to the worries associated with this opacity, the field of XAI has produced a plethora of methods purporting to explain the workings of DNNs. Unsurprisingly, a whole host of questions revolves around the notion of explanation central to this field. This note provides a roadmap of the recent work that tackles these questions from the perspective of philosophical ideas on explanations and models in science.
Fonds National de la Recherche - FnR
Researchers ; Students
http://hdl.handle.net/10993/53884
https://ceur-ws.org/Vol-3319/paper11.pdf
FnR ; FNR14776480 > Leon Van Der Torre > DELIGHT > Deontic Logic For Epistemic Rights > 01/09/2021 > 31/08/2024 > 2020

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
paper11.pdfPublisher postprint776.92 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.